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Raj K. Razdan

Researcher at Virginia Commonwealth University

Publications -  197
Citations -  8829

Raj K. Razdan is an academic researcher from Virginia Commonwealth University. The author has contributed to research in topics: Cannabinoid & Cannabinoid receptor. The author has an hindex of 46, co-authored 197 publications receiving 8436 citations. Previous affiliations of Raj K. Razdan include VCU Medical Center & Miles Laboratories.

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Cannabidiol displays unexpectedly high potency as an antagonist of CB1 and CB2 receptor agonists in vitro

TL;DR: This study aimed to investigate whether the properties of cannabidiol extend to CB1 receptors expressed in mouse brain and to human CB2 receptors that have been transfected into CHO cells.
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Cannabinoid-induced mesenteric vasodilation through an endothelial site distinct from CB1 or CB2 receptors.

TL;DR: It is suggested that Abn-cbd and cannabidiol are a selective agonist and antagonist, respectively, of an as-yet-unidentified endothelial receptor for anandamide, activation of which elicits NO-independent mesenteric vasodilation, possibly by means of the release of an endothelium-derived hyperpolarizing factor (EDHF).
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A biosynthetic pathway for anandamide

TL;DR: A biosynthetic pathway for anandamide in mouse brain and RAW264.7 macrophages is document that involves the phospholipase C (PLC)-catalyzed cleavage of NAPE to generate a lipid, phosphoanandamide, which is subsequently dephosphorylated by phosphatases, including PTPN22, previously described as a protein tyrosine phosphatase.
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Cannabinoid structure-activity relationships: correlation of receptor binding and in vivo activities.

TL;DR: High correlations were demonstrated between binding affinity and in vivo potency in both the rat drug discrimination model and for psychotomimetic activity in humans, and the structure-activity relationship indicated the importance of side chain structure to high-affinity binding.
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Behavioral, biochemical, and molecular modeling evaluations of cannabinoid analogs.

TL;DR: The structural diversity and wide-ranging potencies of the analogs described herein provide the opportunity to develop a pharmacophore for the cannabinoids using molecular modeling techniques.